yacman
A YAML configuration manager
Decision gist · record as of 2026-08-14
Yes. Yacman is a lightweight, actively maintained configuration manager with low install friction, permissive licensing, and no known vulnerabilities. Install it if you need file-safe concurrent YAML access with environment variable expansion; skip it if you only need basic YAML parsing without multi-process locking.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- File-based locking is not re-entrant; do not nest lock contexts on the same file or deadlock will occur.
- Low install friction with only two runtime dependencies (pyyaml and ubiquerg).
License · maintenance · safety
BSD-2-Clause (permissive) — BSD-2-Clause is a permissive license allowing commercial and private use with minimal restrictions; you may use this package freely in most projects.
last release 2026-03-06 (161 days) · last repo commit 2026-03-25 · 8 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 213,394 downloads/mo, #9,438 on PyPI
Alternatives
Verify before relying
from yacman import YAMLConfigManager, write_lock, read_lock
data = {"my_list": [1,2,3], "my_int": 8}
ym = YAMLConfigManager.from_obj(data)
print(ym["my_int"])
with write_lock(ym) as locked_ym:
locked_ym.rebase_and_write()- Whether ubiquerg dependency is a utility library or introduces significant transitive dependencies.
- Performance characteristics when handling large YAML files or frequent concurrent access patterns.
What it is and what it does
Yacman is a YAML configuration manager that wraps pyyaml and ubiquerg to provide a higher-level interface for loading, modifying, and persisting YAML configuration files. It exposes configuration data as a dictionary-like object with support for nested access, environment variable expansion via the `.exp` attribute, and conversion to/from Python objects and YAML strings.
The package's main feature is file-safe concurrent access through separate read and write locks, allowing multiple processes to read a configuration simultaneously while ensuring writes are serialized and can rebase against disk changes. Version 1.0.0 introduced explicit constructor functions (from_yaml_file, from_yaml_data, from_obj) and separated locking into read_lock and write_lock context managers, replacing the earlier unified lock pattern. It targets Python 3.10+ and is actively maintained.
Use it for
- Load and access nested YAML configuration files in a Python application with dictionary-like syntax.
- Safely update YAML config files from multiple processes using write_lock to prevent concurrent writes and data loss.
- Expand environment variables in YAML values using the `.exp` accessor for dynamic configuration.
- Convert between YAML files, Python dictionaries, and YAML strings for configuration serialization.
- Rebase in-memory configuration against disk changes when other processes may have modified the file.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Yacman is a lightweight, actively maintained configuration manager with low install friction, permissive licensing, and no known vulnerabilities. Install it if you need file-safe concurrent YAML access with environment variable expansion; skip it if you only need basic YAML parsing without multi-process locking.
Install
yacman on PyPI
Before you install
Low install friction with only two runtime dependencies (pyyaml and ubiquerg). Actively maintained with a recent release (161 days ago) and ongoing repository activity.
Requires Python 3.10 or later. File-based locking is not re-entrant; do not nest lock contexts on the same file or deadlock will occur.
License in practice
BSD-2-Clause is a permissive license allowing commercial and private use with minimal restrictions; you may use this package freely in most projects.
Quickstart
from yacman import YAMLConfigManager, write_lock, read_lock
data = {"my_list": [1,2,3], "my_int": 8}
ym = YAMLConfigManager.from_obj(data)
print(ym["my_int"])
with write_lock(ym) as locked_ym:
locked_ym.rebase_and_write()Verify before relying
- Whether ubiquerg dependency is a utility library or introduces significant transitive dependencies.
- Performance characteristics when handling large YAML files or frequent concurrent access patterns.
Package facts
| License | BSD-2-Clause permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagespyyamlubiquerg |
| Maintenance | Actively maintained 161 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 213,394 / month, #9,438 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaLicense :: OSI Approved :: BSD LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Topic :: Scientific/Engineering :: Bio-Informatics |
Evidence: yacman-1.0.0-py3-none-any.whl
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See also yacs · bestconfig · dynamic-yaml · sconf · simple-settings · filelock · Pymem · zc.lockfile · locket · pynvim